Advanced Search
MyIDEAS: Login

On Value Efficiency and Data Envelopment Analysis

Contents:

Author Info

  • Rolf Fare

    (Department of Economics, Oregon State University, Corvallis, Oregon 97331, USA)

  • Shawna Grosskopf

    (Department of Economics, Oregon State University, Corvallis, Oregon 97331, USA)

  • Gerald Whittaker

    (Agricultural Research Service, USDA, Corvallis, Oregon 97330, USA)

Registered author(s):

    Abstract

    This paper builds on earlier efforts to integrate preferences into a DEA model. Rather than including an explicit utility function as a constraint to a DEA problem as in Färe et al. (2002), here we use the notion of dominance to identify a ’¡Ærevealed’¡Ç indifference curve, which is then included in the DEA model. This allows us to identify what Halme et al. (1999) call the most preferred solution (MPS) as part of the solution to our modified DEA problem. This in turn allows us to decompose what they would call value efficiency into a technical and preference related component.

    Download Info

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Bibliographic Info

    Article provided by Department of Economics, Delhi School of Economics in its journal Indian Economic Review.

    Volume (Year): 39 (2004)
    Issue (Month): 1 (January)
    Pages: 81-88

    as in new window
    Handle: RePEc:dse:indecr:v:39:y:2004:i:1:p:81-88

    Contact details of provider:
    Postal: University of Delhi, Delhi 110 007
    Phone: 91-11-2766-6533/34/35, 2766-6703/04/05
    Fax: +91-11-7667159
    Email:
    Web page: http://www.ierdse.org/
    More information through EDIRC

    Order Information:
    Email:
    Web: http://www.ierdse.org/

    Related research

    Keywords: Value Efficiency; DEA;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Whittaker, Gerald & Confesor Jr., Remegio & Griffith, Stephen M. & Färe, Rolf & Grosskopf, Shawna & Steiner, Jeffrey J. & Mueller-Warrant, George W. & Banowetz, Gary M., 2009. "A hybrid genetic algorithm for multiobjective problems with activity analysis-based local search," European Journal of Operational Research, Elsevier, vol. 193(1), pages 195-203, February.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:dse:indecr:v:39:y:2004:i:1:p:81-88. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Pami Dua).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.